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. 2020 Apr 24;59(1):89–100. doi: 10.1007/s12016-020-08792-8

Clinical Pathway for Early Diagnosis of COVID-19: Updates from Experience to Evidence-Based Practice

Guogang Xu 1,#, Yongshi Yang 2,#, Yingzhen Du 1,#, Fujun Peng 3,4,#, Peng Hu 1, Runsheng Wang 1, Ming Yin 1, Tianzhi Li 1, Lei Tu 5,✉, Jinlyu Sun 2,✉, Taijiao Jiang 3,4,✉, Christopher Chang 6,7,✉
PMCID: PMC7180681  PMID: 32328954

Abstract

The COVID-19 pandemic is a significant global event in the history of infectious diseases. The SARS-CoV-2 appears to have originated from bats but is now easily transmissible among humans, primarily through droplet or direct contact. Clinical features of COVID-19 include high fever, cough, and fatigue which may progress to ARDS. Respiratory failure can occur rapidly after this. The primary laboratory findings include lymphopenia and eosinopenia. Elevated D-dimer, procalcitonin, and CRP levels may correlate with disease severity. Imaging findings include ground-glass opacities and patchy consolidation on CT scan. Mortality is higher in patients with hypertension, cardiac disease, diabetes mellitus, cancer, and COPD. Elderly patients are more susceptible to severe disease and death, while children seem to have lower rates of infection and lower mortality. Diagnostic criteria and the identification of persons under investigation have evolved as more data has emerged. However, the approach to diagnosis is still very variable from region to region, country to country, and even among different hospitals in the same city. The importance of a clinical pathway to implement the most effective and relevant diagnostic strategy is of critical importance to establish the control of this virus that is responsible for more and more deaths each day.

Keywords: COVID-19, SARS-CoV-2, Pandemic, Acute respiratory distress syndrome, WHO, CDC, Coronavirus, Pneumonia, Outbreak, Infection, Quarantine, Virus, Transmission, Clinical pathway

Introduction

In December 2019, a novel coronavirus SARS-CoV-2 first appeared in Wuhan, China, causing a serious coronavirus disease called COVID-19 [1]. Initially believed to have originated in animals, it was later shown to be able to spread from person to person [2, 3]. On January 21, 2020, the COVID-19 was classified into a category B infectious disease of high priority requiring countrywide management measures (category A management measures) in China. On January 30, WHO declared that the outbreak of SARS-CoV-2 was a Public Health Emergency of International Concern (PHEIC). As of March 26, 2020, there have been 552,943 cases of COVID-19 confirmed in 200 countries and regions, including 399,192 active cases, 25,045 deaths, and 128,706 cases recovered. On March 2, the European CDC raised the SARS-CoV-2 risk level from moderate to high. Almost the entire globe is now designated by the US CDC as under a class 3 travel advisory. On March 11, 2020, the WHO declared COVID-19 a pandemic. Global travel has been severely restricted and mass quarantine measures have been implemented in almost every country.

The symptoms of COVID-19 are non-specific, ranging from asymptomatic to severe pneumonia and death. Fever and cough are the most common clinical symptoms. Abnormal chest computed tomography (CT) has been used to diagnose 67.4–88.0% cases of COVID-19, indicating that pneumonia is the most common manifestation of the disease [4–6]. Therefore, CT imaging is widely used in the early diagnosis of the disease, but chest CT may not distinguish COVID-19 from other viral pneumonias [7–9]. Nucleic acid assay, gene sequencing, and serology examination (IgM and IgG) from throat swabs or blood samples have been developed to establish a pathologic diagnosis [7]. However, clinicians in Wuhan have raised the issue of high false negative rate of PCR or antibody detection [10]. Combination use of medical history, clinical manifestations, chest CT, and the viral test has been found to have high sensitivity (92–97%) [5, 6]. Based on current understanding of COVID-19, the Chinese government regularly provides an updated clinical protocol to guide screening tactics to manage COVID-19 in epidemic areas. Globally, early diagnosis of COVID-19 is still a major challenge.

Methods

Search Strategy and Selection Criteria

A search was carried out in MEDLINE, PubMed, CNKI, WanFang, SinoMed, 2019 Novel Coronavirus Resource (2019nCoVR) of China National Center for Bioinformation, and Scientific Platform for the New Coronavirus Pneumonia of China Medical Journal Network to identify published studies on the new coronavirus. Our search strategy included the terms “2019-nCoV,” “2019 Novel coronavirus,” “SARS-CoV-2,” and “COVID-19.” Relevant articles published in English or Chinese were included.

Discussion/Observations

Origin

The COVID-19 breakout was initially associated with Wuhan Huanan Seafood Wholesale Market. However, 13 of the first confirmed 41 cases had no contact history with the market. Thus, the origin of SARS-CoV-2 remains to be determined [11, 12]. Bioinformatics analysis revealed that the sequence homology was 96% between SARS-CoV-2 and Bat-CoV-RaTG13 previously detected in Rhinolophus affinis from Yunnan Province, rather than the earlier SARS-CoV (sequence homology less than 80%). Therefore, the Chinese chrysanthemum bat was speculated to be the origin of SARS-CoV-2 [13–15]. Further investigation identified that pangolin might be a potential intermediate host because the S1 protein of Pangolin-CoV is virtually identical to that of SARS-CoV-2. On the other hand, the genomic similarity of SARS-CoV-2 has been found to be lower compared with Pangolin-CoV than Bat-CoV-RaTG13 [16–19]. These findings suggest that further studies are required to trace intermediate hosts in the jump from bats to humans.

Although respiratory droplets and direct contact are the main routes of transmission [2, 4, 7, 20], other routes include aerosol and fecal-oral transmission (Fig. 1) [4, 21].

Fig. 1.

Fig. 1

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Modes of transmission of SARS-CoV-2. The solid frames indicate confirmed modes of transmission whereas the dotted boxes have yet to be confirmed

Human-to-Human Spread

In mid-January 2020, studies of clusters of infected family members and medical workers confirmed person-to-person transmission [2, 3, 22]. Close contact with symptomatic individuals constitutes the major risk for extensive transmission. Ongoing spread may rely on unknown transmission by asymptomatic hosts [20]. Guan et al. reported that of the 3.5% of infected patients who were identified as healthcare workers, 1.9%, 31.3%, and 72.3% of patients had a history of contact with wildlife, recent traveled to Wuhan, and contact with people from Wuhan, respectively [4].

  1. Respiratory droplets—SARS-CoV-2 is transmitted mainly via respiratory droplets [2, 4, 7, 20]. When a patient coughs or sneezes, aerial droplets containing virus may be inhaled by susceptible individuals.

  2. Direct contact—Guan et al. found that 71.8% of non-local residents developed COVID-19 due to contact with individuals from Wuhan [4]. More than 1800 of 2055 (~ 88%) medical workers with COVID-19 were in Hubei, according to reports from 475 hospitals [20].

  3. Indirect contact—this occurs when droplets containing SARS-CoV-2 land on the surface of tabletops, doorknobs, telephones, and other inanimate objects. The virus is transferred from the surface to the mucous membranes by contaminated fingers touching the mouth, nose, or eyes [23]. Studies have estimated that SARS-CoV-2 can exist for up to 5 days at a temperature of 20 °C and a humidity of 40–50% and can survive for less than 48 h in dry air, with a reduction in viability after 2 h [24].

  4. Asymptomatic transmission—asymptomatic infections have been reported in at least two cases with exposure history to a potentially pre-symptomatic patient who was later diagnosed with COVID-19. The virus was then transmitted to another three healthy family members [25, 26]. Prior to the development of symptoms, individuals may not be isolated and may constitute an important mobile viral source. This transmission contributes to the difficulties in containing the spread of the disease [27, 28].

  5. Interfamilial transmission—transmission within family clusters is very common. One study reported that 78 to 85% of cases in large aggregate groups occurred due to interfamilial transmission in Sichuan and Guangdong, China [20].

  6. Aerosol transmission—in a closed environment with poor ventilation, aerosols may remain airborne for 24–48 h and spread from several meters to dozens of meters [7, 29, 30]. However, there has been no strong evidence for aerosol transmission. The WHO also deemed that this route requires further investigation [31, 32].

  7. Ocular transmission—it has been reported that a doctor without eye protection was infected during an inspection in Wuhan on January 22, 2020 [33]. Further studies found that SARS-CoV-2 may be detected in the tears and conjunctival secretions of COVID-9 patients [34, 35].

  8. Fecal-oral transmission—this was first reported in a COVID-19 case in the USA [21]. Subsequent studies detected SARS-CoV-2 in the feces and anal swabs of COVID-19 patients [4, 36]. Furthermore, 23.3% of COVID-19 patients remained SARS-CoV-2 positive in feces even when the viral RNA was no longer detectable in the respiratory tract. SARS-CoV-2 has also been detected in gastric, duodenal, and rectal epithelia [37].

There is insufficient evidence to support vertical transmission as samples from neonates born to SARS-CoV-2-positive mothers have been negative [38–41]. Moreover, no viral RNA has been detected from the vaginal environment of 35 female patients, suggesting a lack of evidence for sexual transmission of SARS-CoV-2 [42].

Susceptible Populations

With the increasing number of COVID-19 cases, all individuals have a theoretical risk of contact with virus carriers [33]. Major risk factors for developing severe infection include old people and the presence of comorbidities or underlying diseases, such as hypertension, diabetes, and cardiovascular disease [4, 20, 43]. A study of 1524 cancer patients showed that they had a twofold increased risk of COVID-19 than the general population [44]. Other high-risk populations include those who are immunosuppressed due to primary or acquired immunodeficiency syndromes or those who are iatrogenically immunosuppressed.

Pregnant women can develop COVID-19 infection [38–41]. The data on children suggests that the disease in children is less severe. In a study of 55,924 patients with COVID-19, children under the age of 18 years comprised 2.4%. Of these, 2.5% had severe disease, and 0.2% were categorized as critically ill [20]. It is estimated that in China, there have been fewer than 10 deaths among individuals under the age of 30 so far [43]. Intriguingly, the pediatric patients were found through tracking close contacts of infected individuals and were not found in turn to transmit the virus to adults [20]. Healthcare personnel are at a high risk of being infected. In one study, 29% of 139 hospitalized patients were medical workers [45].

Clinical Manifestations

  1. General information—according to reports from China’s CDC, 51.4% (22,981/44,672) were male and 86.6% were aged 30–79 years [43]. The mean incubation period was 5–6 days, with a range of 1 to 14 days. The median age was 51 years (range 2 days to 100 years, interquartile range between 39 and 63 years of age) [20].

  2. Symptoms—the observed symptoms of COVID-19 were generally non-specific, including fever, dry cough, fatigue, and sputum production. Some patients complained of sore throat, headache, myalgia, arthralgia, diarrhea, nasal congestion, or runny nose. In severe cases, COVID-19 presents with pneumonia, dyspnea, and/or hypoxemia occurred more than 1 week after the initial infection. Fever was the most common symptom (91.7%, 411/448), followed by cough (67.2%, 301/448), fatigue (52.5%, 235/448), dyspnea (45.1%, 178/395), sputum production (36.1%, 103/285), anorexia (29.3%, 39/133), myalgia or arthralgia (22.2%, 71/320), chills (18.2%, 37/203), sore throat (15.3%, 40/261), and headache (11.6%, 39/337). The clinical manifestations of the 448 pooled severe cases are summarized in Table 1 [4, 11, 45–52].

  3. Severity—China’s CDC has reported 44,672 cases, with 80.9% being mild or moderate cases, 13.8% severe cases, and 4.7% critical cases. The overall case-fatality rate was 2.3% and 81% of the deaths occurred in patients over 60 years of age. The mortality rate of critical cases was 49% [43].

  4. Comorbidities—COVID-19 patients with comorbidities showed higher mortality. In Guan’s study, 25.1% (399/1590) of the confirmed cases reported having at least one comorbidity. The most common comorbidities included hypertension (16.9%), diabetes (8.2%), and cardiovascular diseases (3.7%) [53]. In another study, hypertension (39.7%), cardiovascular diseases (22.7%), and diabetes (19.7%) were the most common underlying diseases among 1023 deaths [43].

  5. Complications—critical cases may progress rapidly to acute respiratory distress syndrome (ARDS), septic shock, metabolic acidosis, coagulation dysfunction, and even death. Among the 448 severe cases, complications were reported in 274 patients [4, 11, 45, 48]. The most common complication was pneumonia (76%, 171/225), followed by ARDS (34.7%, 95/274), acute cardiac injury (23.8%, 24/101), septic shock (11.3%, 25/222), and acute kidney injury (9.5%, 26/274).

Table 1.

Demographic data, underlying diseases, and clinical manifestations of severe cases with SARS-CoV-2 infection

Studies Guan et al. [4] Zhang et al. [46] Liu et al. [47] Yang et al. [48] Wang et al. [45] Lu et al. [49] Liu et al. [50] Huang et al. [11] Liu et al. [51] Chen et al. [52]
ICU/severe cases N = 173 N = 58 N = 53 N = 52 N = 36 N = 22 N = 17 N = 13 N = 13 N = 11
Age, mean/median (range) (years) 52 (40–65) 64 (25–87) 61 (52–70) 59.7 66 (57–78) NA 56 (34–73) 49 (41–61) 59.7 63.9
Gender (no., %)
  Male 100 (57.8) 33 (56.9) 28 (52.8) 35 (67.3) 22 (61.1) NA 10 (58.8) 11 (84.6) 7 (53.8) 10 (90.9)
  Female 73 (42.2) 25 (43.1) 25 (47.2) 17 (33.6) 14 (38.9) NA 7 (41.2) 2 (15.4) 6 (46.2) 1 (9.1)
Current smoking 29 (16.8) 2 (3.4) NA 2 (3.8) NA NA 2 (11.8) 0 NA NA
Underlying diseases (no., %)
  Hypertension 41 (23.7) 22 (37.9) 21 (39.6) NA 21 (58.3) 10 (45.5) 6 (35.3) 2 (15.4) 5 (38.5) 5 (45.5)
  Diabetes 28 (16.2) 8 (13.8) 11 (20.8) 9 (17.3) 8 (22.2) 6 (27.3) 3 (17.6) 1 (7.7) 4 (30.8) 2 (18.2)
  Cardiovascular diseases 10 (5.8) 4 (6.9) 3 (5.7) 5 (9.6) 9 (25.0) 4 (18.2) 1 (5.9) 3 (23.1) NA NA
  Cerebrovascular diseases 4 (2.3) NA 6 (11.3) 7 (13.5) 6 (16.7) 1 (4.5) NA NA NA NA
  COPD 6 (3.5) 2 (3.4) 2 (3.8) 4 (7.7) 3 (8.3) 2 (9.1) 3 (17.6) 1 (7.7) NA NA
  Chronic renal diseases 3 (1.7) 2 (3.4) 8 (15.1) NA 2 (5.6) 2 (9.1) NA NA NA NA
  Chronic liver diseases NA 4 (6.9) NA NA 0 1 (4.5) NA 0 NA NA
  Cancer/malignancy 3 (1.7) NA NA 2 (3.8) 4 (11.1) 1 (4.5) NA 0 1 (7.7) NA
Symptoms and signs (no., %)
  Fever 158 (91.3) 51 (87.9) 42 (79.2) 51 (98.1) 36 (100) 20 (90.9) 17 (100) 13 (100) 13 (100) 10 (90.9)
  Cough 122 (70.5) 45 (77.6) 31 (58.5) 40 (76.9) 21 (58.3) 7 (31.8) 14 (82.4) 3 (23.1) 11 (84.6) 7 (63.6)
  Fatigue 69 (39.9) 39 (67.2) 36 (67.9) 18 (34.6) 29 (80.6) 7 (31.8) 12 (70.6) 7 (53.8) 8 (61.5) 10 (90.9)
  Dyspnea 65 (37.6) 24 (41.4) NA 33 (63.5) 23 (63.9) 4 (18.2) 6 (35.3) 12 (92.3) 0 11 (100)
  Sputum production 61 (35.3) NA NA NA 8 (22.2) 6 (27.3) 11 (64.7) 5 (38.5) 10 (76.9) 2 (18.2)
  Sore throat 23 (13.3) NA NA NA 12 (33.3) 0 4 (23.5) NA 1 (7.7) NA
  Myalgia or arthralgia 30 (17.3) NA NA 7 (13.5) 12 (33.3) 2 (9.1) NA 7 (53.8) 8 (61.5) 5 (45.5)
  Headache 26 (15) NA NA 3 (5.8) 3 (8.3) 1 (4.5) 3 (17.6) 0 2 (15.4) 1 (9.1)
  Chills 26 (15) NA NA NA NA NA 6 (35.3) NA 5 (38.5) NA
  Nausea or vomiting 12 (6.9) 7 (12.1) NA 2 (3.8) 7 (19.4) 0 2 (11.8) NA 4 (30.8) NA
  Diarrhea 10 (5.8) 9 (15.5) 6 (11.3) NA 6 (16.7) 0 1 (5.9) 0 2 (15.4) 1 (9.1)
  Nasal congestion/rhinorrhea 6 (3.5) NA NA 3 (5.8) NA 0 NA NA 0 NA
  Hemoptysis 4 (2.3) NA NA NA NA NA NA 1 (7.7) NA NA
  Chest pain NA NA 3 (5.7) 1 (1.9) NA 1 (4.5) 0 NA 5 (38.5) NA
  Anorexia NA 8 (13.8) NA NA 24 (66.7) 3 (13.6) 4 (23.5) NA NA NA
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COPD chronic obstructive pulmonary diseases, ICU intensive care unit, NA not available

Imaging Features

The imaging findings of COVID-19 can be variable and change rapidly. Radiological examinations are important for early detection, monitoring, and evaluation of COVID-19 [54]. There were usually no abnormal findings at the early stage with digital radiography (DR). Therefore, CT is recommended for the early detection of subtle changes not found on DR [54]. Typical chest CT findings include peripherally distributed multifocal ground-glass opacities (GGOs) with patchy consolidations. Increasing numbers, extent, and density of GGOs on chest CT correlated with disease progression [55].

Pan et al. collected CT images from 63 confirmed COVID-19 patients and found that 60.7% of the patients had more than two affected lobes. Fifty-four (85.7%) patients had patchy or punctate GGOs, 12 (19.0%) patients had patchy consolidation, 11 (17.5%) patients had fibrous stripes, and 8 (12.7%) patients had irregular solid nodules [56]. Another study comprised 51 cases, and the CT images showed pure GGOs in 77% of patients, GGOs with reticular and/or interlobular septal thickening in 75% of patients, GGOs with consolidation in 59% of patients, and pure consolidation in 55% of patients. Eighty-six percent had bilateral lung involvement, 80% had involvement of the posterior portion of the lung, and 86% had peripheral involvement [57]. In severe cases, the chest CT showed bilateral patchy shadowing in 79.2% patients, followed by GGOs in 58.4% patients, local patchy shadowing in 53.2% patients, and interstitial abnormalities in 25.4% patients [4].

A descriptive study analyzed chest CT images from 81 confirmed patients and found that COVID-19 pneumonia rapidly evolved from focal unilateral to diffuse bilateral GGOs and progressed to or co-existed with consolidations within 1–3 weeks [58]. The appearance of interstitial changes suggests the development of fibrosis. However, there is currently no evidence for these lung changes as irreversible fibrosis [58]. In another retrospective study on chest CT results of 21 asymptomatic patients with COVID-19, three (14%) patients showed no GGOs or consolidation, fifteen (71%) patients showed involvement of more than two lobes, 12 (57%) patients only had GGOs, and 6 (29%) patients had GGOs with consolidation [59]. Feng et al. analyzed the CT features of 15 children with confirmed disease (4 to 14 years old) and found that nine patients had small nodular GGOs but six patients had no lesions [60].

Laboratory Findings

  1. Diagnostic tests—reverse transcription PCR (RT-PCR) assay is widely used in the early diagnosis and monitoring of SARS-CoV-2 infections. RT-PCR was positive in 59 to 78.2% of cases [5, 6, 61]. This assay may detect the viral RNA in the early stage of clinical symptoms even with negative CT findings [62]. Gene sequencing can identify SARS-CoV-2 accurately, but the major disadvantages are that it is very time-consuming and expensive. Gene sequencing is more important for research on the variants and origin of SASR-CoV-2 [20]. Based on recent data in 397 cases, specific IgM, specific IgG, and specific IgM + specific IgG had a sensitivity of 18.1%, 6.0%, and 64.5%, respectively [63]. Serological assays require only 15 min to generate results and can be used for rapid screening in clinics [63].

  • b)

    Routine tests—in Guan’s study [4] of 1099 confirmed patients, lymphopenia was present in 83.2% of the patients on admission. Changes in albumin, lactate dehydrogenase, neutrophils, and C-reactive protein (CRP) were seen in SARS-CoV-2 infections.

  • c)

    Potential biomarkers for severity—significantly higher levels of D-dimer, CRP, and procalcitonin were associated with disease severity (Table 2). Huang reported that prothrombin time and D-dimer levels on admission were higher in intensive care unit (ICU) patients than in non-ICU patients [11]. Plasma concentrations of IL-2, IL-7, IL-10, and TNF-α were higher in ICU patients. In Wang’s study [45], ICU patients had higher white blood cell and neutrophil counts, as well as higher levels of D-dimer, creatine kinase, and creatine. Severe patients demonstrated lymphopenia and eosinopenia. Eosinophil counts correlate positively with lymphocyte counts in severe and non-severe patients.

Table 2.

Laboratory parameters of four studies

Laboratory parameters (normal range) Huang’s study [11] Wang’s study [45] Zhang’s study [46] Guan’s study [4]
All (n = 41) ICU (n = 13) No ICU (n = 28) All (n = 138) ICU (n = 36) No ICU (n = 102) All (n = 138) Severe (n = 56) Non-severe (n = 82) All (n = 1099) Severe (n = 173) Non-severe (n = 926)
White blood cell count, ×  109/L (4–10) 6.2 (4.1–10.5) 11.3 (5.8–12.1) 5.7 (3.1–7.6) 4.5 (3.3–6.2) 6.6 (3.6–9.8) 4.3 (3.3–5.4) 4.7 (3.7–6.7) 5.3 (4.0–9) 4.5 (3.5–5.9) 4.7 (3.5–6) 3.7 (3–6.2) 4.9 (3–6)
  < 4 (no./total no., %) 10/40 (25) 1/13 (8) 9/27 (33) NA NA NA 27/138 (19.6) 9/56 (16.1) 18/82 (22) 330/978 (33.7) 102/167 (61.1) 228/811 (28.1)
  > 10 (no./total no., %) 12/40 (30) 7/13 (54) 5/27 (19) NA NA NA 17/138 (12.3) 13/56 (23.2) 4/82 (4.9) 58/978 (5.9) 39/811 (4.8) 19/167 (11.4)
Neutrophil count, ×  109/L (1.8–6.3) 5.0 (3.3–8.9) 10.6 (5.0–11.8) 4.4 (2–6.1) 3.0 (2–4.9) 4.6 (2.6–7.9) 2.7 (1.9–3.9) NA NA NA NA NA NA
Lymphocyte count, ×  109/L (1.0–3.2) 0.8 (0.6–1.1) 0.4 (0.2–0.8) 1 (0.7–1.1) 0.8 (0.6–1.1) 0.8 (0.5–0.9) 0.9 (0.6–1.2) 0.8 (0.6–1.1) 0.7 (0.5–1.0) 0.8 (0.6–1.2) 1 (0.7–1.3) 0.8 (0.6–1) 1 (0.8–1.4)
  < 1·0 (no./total no., %) 26/41 (63) 11/13 (85) 15/28 (54) NA NA NA 104/138 (75.4) 46/56 (82.1) 58/82 (70.7) NA NA NA
Prothrombin time (s) (9.4–12.5) 11.1 (10.1–12.4) 12.2 (11.2–13.4) 10.7 (9.8–12.1) 13 (12.3–13.7) 13.2 (12.3–14.5) 12.9 (12.3–13.4) NA NA NA NA NA NA
D-dimer (mg/L) (0–0.5) 0.5 (0.3–1.3) 2.4 (0.6–14.4) 0.5 (0.3–0.8) 203 (121–403) 414 (191–1324) 166 (101–285) 0.2 (0.1–0.5) 0.4 (0.2–2.4) 0.2 (0.1–0.5) NA NA NA
Albumin (g/L) (30–50) 31.4 (28.9–36.0) 27.9 (26.3–30.9) 34.7 (30.2–36.5) NA NA NA NA NA NA NA NA NA
Alanine aminotransferase (U/L) (9–50) 32 (21–50) 49 (29–115) 27 (19.5–40) 24 (16–40) 35 (19–57) 2 (15–36) NA NA NA NA NA NA
Aspartate aminotransferase (U/L) (15–40) 34 (26–48) 44 (30–70) 34 (24–40.5) 31 (24–51) 52 (30–70) 29 (21–38) NA NA NA NA NA NA
  ≤ 40 (no./total no., %) 26/41 (63) 5/13 (38) 21/28 (75) NA NA NA NA NA NA NA NA NA
Total bilirubin (mmol/L) (5–21) 11.7 (9.5–13.9) 14 (11.9–32.9) 10.8 (9.4–12.3) 9.8 (8.4–14.1) 11.5 (9.6–18.6) 9.3 (8.2–12.8) NA NA NA NA NA NA
Lactate dehydrogenase (U/L) (25–245) 286 (242–408) 400 (323–578) 281 (233–357) 261 (182–403) 435 (302–596) 212 (171–291) NA NA NA NA NA NA
  ≤ 245 (no./total no., %) 11/40 (28) 1/13 (8) 10/27 (37) NA NA NA NA NA NA NA NA NA
Hypersensitive troponin I (ng/mL) (< 28) 3.4 (1.1–9.1) 3.3 (3–163) 3.5 (0.7–5.4) 6.4 (2.8–18.5) 11 (5.6–26.4) 5.1 (2.1–9.8) NA NA NA NA NA NA
  > 28 (no./total no., %) 5/41 (12) 4/13 (31) 1/28 (4) NA NA NA NA NA NA NA NA NA
Creatine kinase–MB (U/L) (< 25) NA NA NA 14 (10–18) 18 (12–35) 13 (10–14) 72.5 (52.2–115) 66 (38.5–144) 83 (56.0–112) NA NA NA
Procalcitonin (ng/mL) (< 0.05) 0.1 (0.1–0.1) 0.1 (0.1–0.4) 0.1 (0.1–0.1) NA NA NA 0.07 (0.04–0.1) 0.1 (0.06–0.3) 0.05 (0.03–0.1) NA NA NA
  ≥ 0·5 (no./total no., %) 3/39 (8) 3/12 (25) 0/27 49 (35.5) 27 (75) 22 (21.6) 41/118 (34.7) 25/50 (50) 16/68 (23.5) 35/633 (5.5) 16/117 (13.7) 19/516 (3.7)
  < 0·1 (no./total no., %) 27/39 (69) 6/12 (50) 21/27 (78) NA NA NA NA NA NA NA NA NA
C-reaction protein (mg/L) (0–3) NA NA NA NA NA NA 34.2 (12.5–67.4) 47.6 (20.6–87.1) 28.7 (9.5–52.1) NA NA NA
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ICU intensive care unit, NA not available

Updates of Clinical Protocols

On January 16, 2020, the National Health Commission (NHC) of China published the first clinical protocol based on the initial experience of several hundred of cases of novel coronavirus pneumonia. Over the past few months, an abundance of information has been acquired from the vast number of cases in China, and the data is increasing daily. Thus far, NHC has published seven versions of clinical protocols to facilitate early diagnosis and early treatment of the disease (Table 3). Figure 2 is a flowchart to help identify and assess COVID-19 that is based on these protocols and clinical experience. From February to March 2020, the mortality rate and hospital infections reported in Wuhan have decreased.

Table 3.

The diagnosis criteria of suspected and confirmed cases with COVID-2019 published by NHC of PRC

Trial edition (publication date) Epidemiological history Clinical manifestations Suspected case Confirmed case
First (January 16, 2020) Within 2 weeks before the disease onset, there is a travel history or a direct/indirect contact history with markets in Wuhan, especially a market of farm produce

(1) Fever

(2) Radiographic evidence of pneumonia

(3) Low or normal leukocyte count or low lymphocyte count during the early stage of disease

(4) No improvement or worsening symptoms after 3–5 days of antimicrobial treatment per standard clinical guidelines

 Anyone who satisfies the epidemiological history and clinical manifestations can be diagnosed as a suspected case The suspected case whose gene highly homologous to the known new coronavirus by whole-genome sequencing of the virus in respiratory specimens (sputum or throat swabs) is considered a confirmed case
Second (January 18, 2020)

(1) Within 2 weeks before the disease onset, there is a travel history or living history in Wuhan

(2) Within 2 weeks before the disease onset, there is a contact history with patients who had fever or respiratory symptoms from Wuhan

(3) Clustering occurrence of cases

(1) (2) (3) Same as above.

Delete (4)

 Same as above

The suspected case with one of the following evidences is reclassified as a confirmed case:

(1) Positive results of nucleic acids of the new coronavirus by RT-PCR in respiratory specimens, such as sputum, throat swabs, and lower respiratory tract secretions

(2) The viral gene sequence is highly homologous to the known new coronavirus
Third (January 22, 2020) Same as above Same as above Same as above Same as above
Fourth (January 27, 2020)

(1) Within 2 weeks before the disease onset, there is a travel history or living history in Wuhan or other areas with local cases

(2) Within 2 weeks before the disease onset, there is a contact history with patients who had fever or respiratory symptoms from Wuhan or other areas with local cases

(3) Clustering occurrence of cases or epidemiologically associated with patients with new coronavirus pneumonia

 Same as above Supplement: anyone with a positive epidemiological history and any 2 of the clinical manifestations is considered a suspected case Add: blood specimens added to the RT-PCR or viral gene sequence test
Fifth (February 4, 2020)

(1) Within 14 days before the disease onset, there is a travel history or living history in Wuhan and its surrounding areas or other communities with cases reported

(2) Within 14 days before the disease onset, there is a contact history with patients with a positive result of the nucleic acid test of the new coronavirus

(3) Within 14 days before the disease onset, there is a contact history with patients who had fever or respiratory symptoms from Wuhan and its surrounding areas or other communities with cases reported

(4) Clustering occurrence of cases

 Supplement: (1) fever and/or respiratory symptoms; (2) (3) same as above

Supplement: anyone with a positive epidemiological history and any 2 of the clinical manifestations or anyone without definite epidemiological history but with all the clinical manifestations is considered a suspected case

Add: (2) in Hubei Province, anyone with/without an epidemiological history as well as with 2 clinical manifestations: “fever and/or respiratory symptoms, and low or normal leukocyte count or low lymphocyte count during the early stage of disease” can be considered a suspected case

The confirmed cases’ diagnosis criteria are the same as above.

Add: [2] In Hubei Province, suspected cases with imaging characteristics of pneumonia can be considered clinically diagnosed cases.
Sixth (February 18, 2020) Same as above Same as above Delete: the diagnosis criteria of suspected case in Hubei Province Delete: the diagnosis criteria of clinical diagnosis cases in Hubei Province
Seventh (March 3, 2020)

(1) (2) (3) Same as above

Supplement: (4) clustering occurrence of cases (within 2 weeks, 2 or more cases of fever and/or respiratory symptoms occurred in small areas such as homes, offices, and school classes)

 Same as above Same as above

(1) (2) same as above

Add: (3) serum new coronavirus-specific IgM and IgG antibodies are positive; serum new coronavirus-specific IgG antibodies change from negative to positive or the IgG antibodies in the recovery period are 4 times or higher than in the acute period
Open in a new tab

NHC National Health Commission, PRC People’s Republic of China

Fig. 2.

Fig. 2

Open in a new tab

A clinical pathway for the diagnosis of COVID-19. An algorithm to guide clinical decisions in the diagnosis and treatment of COVID-19

Discussion

Since the outbreak of COVID-19 pandemic, the NHC of China has successively released 7 versions of diagnosis and treatment protocols and 6 versions of prevention and control plans. Hubei, Beijing, Shanghai, Tibet, and other cities have also introduced “regional plans.” As scientific evidence accumulates, these protocol updates can be based more on evidence-based practice than on empirical experience.

During the early phase of the COVID-19 outbreak, the sequencing of SARS-Cov-2 genome was published and reported to WHO [1]. Studies on the virological and epidemiological characteristics of SARS-CoV-2 are key to the containment of the virus. It has been shown that human-to-human transmission of SARS-CoV-2 occurs mainly through droplets or direct contact [11, 64].

The incubation period is still unknown but may be up to 14 days in most patients and as long as 24 days in several cases [4]. Gastrointestinal symptoms are uncommon, which is different from SARS-CoV [65] and MERS-CoV [66] infection. Further investigations to clarify the viral tropism of SARS-Cov-2 are important for understanding its transmission and treatment. Older patients (> 65 years) with comorbidities and ARDS are at an increased risk of death, and men seem more likely to be infected than women. The overall mortality rate is estimated to be 2.3% (1023 deaths among 44,762 confirmed cases of COVID-19), based on experience within China [67]. Compared with greater than 10% mortality of SARS-CoV [68] and 35% mortality of MERS-CoV [69], SARS-Cov-2 has a lower mortality rate but appears to be more contagious. The mortality rate may be even lower in the real-world setting once the infection has stabilized. Many studies may not include mildly ill patients who did not seek medical help. Xu’s study [70] found that compared with patients infected with SARS-Cov-2 in Wuhan, the symptoms of patients in Zhejiang Province were relatively mild. There is a potential association between COVID-19 mortality and healthcare resources [71], and the mortality rate outside Wuhan may be much lower.

Some studies have postulated that the gender difference is related to the important role that both the X chromosomes and sex hormones play in the body’s immune system [72], although the mechanism is unknown. Chest CT findings of COVID-19 include peripherally distributed multifocal ground-glass opacities (GGOs) with patchy consolidations, even in asymptomatic patients, suggesting that radiological examinations are important in the early detection, observation, and evaluation of COVID-19. Patients with laboratory-confirmed disease without radiologic manifestations have also been reported [4].

The most common laboratory abnormality in COVID-19 patients is lymphopenia, which is more profound in severe cases. This suggests that SARS-CoV-2 may primarily attack lymphocytes, particularly T lymphocytes, as SARS-CoV does [73]. Virus particles infect cells, inducing a cytokine storm in the body, generating a series of immune responses, and causing changes in peripheral white blood cells and immune cells. Consequently, the low absolute value of lymphocytes may be used as a reference index in the diagnosis or to classify severity of SARS-CoV-2 infections [74]. At present, it is possible to predict prognosis using symptoms, signs, and imaging findings, but there are challenges. Symptoms, signs, and imaging abnormalities are often seen later in the disease course, so early detection may be difficult. In addition, once the condition deteriorates, it may lead to a vicious circle ultimately resulting in critical illness or death. The care of these patients requires a high level of medical resources, equipment, and infrastructure. Slowing the spreading of the disease helps to “flatten the curve,” which helps to prevent overtaxing of healthcare systems.

Limitations of this review include the lack of uniformity between previous papers documenting the clinical manifestations of COVID-19 data derived from patients with SARS-CoV-2 infection in Wuhan, China. The clinical and epidemiology characteristics summarized in studies from Wuhan may be impacted by a shortage of medical resources in Wuhan [71]. The experience in cities and countries outside of Wuhan, China, may be different as the virus has undergone mutations even since its first appearance in December 2019 [70]. There is also a lack of information regarding communicability in the early phases of the disease in patients who have not yet manifested symptoms of COVID-19 or in asymptomatic carriers. Clinical information in some patients who have COVID-19 may be lacking as a result of failure to seek treatment in early stages with mild presentation, or a lack of awareness of the disease, although by now most people are vigilant or even hypervigilant. A shortage of detection kits can also hinder identification and confirmation of infected individuals [75]. These limitations can impact the accuracy of prior research. Lastly, because many patients are still ill in the hospital, the prognosis and the outcomes are incompletely elucidated. Most of the current studies are cross-sectional, and longitudinal studies are required.

Contributors

CC, TJ, JS, and LT conceptualized the paper. GX, YY, YD, FP, and PH analyzed the data with input from LT, TL MY, and RW. YY, YD, FP, and GX wrote the initial draft with all authors providing critical feedback and edits to subsequent revisions. All authors approved the final draft of the manuscript. The corresponding authors attest that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted.

Funding Information

This study was partly supported by the Beijing Municipal Natural Science Foundation General Program (7192197) and the National Natural Science Foundation of China (31671371).

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Guogang Xu, Yongshi Yang, Yingzhen Du and Fujun Peng contributed equally to this work.

Contributor Information

Lei Tu, Email: tulei_1985@126.com.

Jinlyu Sun, Email: sunjinlv@pumch.cn.

Taijiao Jiang, Email: taijiao@ibms.pumc.edu.cn.

Christopher Chang, Email: chrchang@mhs.net.

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